Researchers demonstrated a technique that converts malware binary form into grayscale images, which are scanned by an image pattern recognition algorithm.
Many organizations already pay users to inform them of day-zero bugs, this new tool could save them a lot of time and money.
Previously, the way to identify these disorders would be through manual scoring, which is time-consuming and can lead to inaccuracies.
Deep learning is capable of incredible things, but if you are working with mostly structured data for straightforward purposes, Machine Learning can be a much more viable and affordable application, especially as a smaller organization with limited resources.
Popular open source tech can help future-proof your teams.
Deep learning should deliver systems that not only think, but keep learning and self-directing as new data flows in. Enterprise is taking note.
An open-source GPU initiative could drastically speed analytics, including analyses using deep learning.
Continuum Analytics, H2O.ai and MapD Technologies create open common data frameworks for GPU in-memory analytics
A collaboration between Royal Philips and PathAI shows high promise in improving breast cancer diagnoses with deep learning technology.
“If companies can access a quantum computer through an API in the cloud, they can take advantage of the speed without that overwhelming overhead.”